PSW-Designer: An Open-Source Computational Platform for the Design and Virtual Screening of Photopharmacological Ligands

Icaro A. Simon, Evert J. Homan, Maikel Wijtmans, Michael Sundström, Rob Leurs, Iwan J.P. De Esch, Barbara A. Zarzycka*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Photoswitchable (PSW) molecules offer an attractive opportunity for the optical control of biological processes. However, the successful design of such compounds remains a challenging multioptimization endeavor, resulting in several biological target classes still relatively poorly explored by photoswitchable ligands, as is the case for G protein-coupled receptors (GPCRs). Here, we present the PSW-Designer, a fully open-source computational platform, implemented in the KNIME Analytics Platform, to design and virtually screen novel photoswitchable ligands for photopharmacological applications based on privileged scaffolds. We demonstrate the applicability of the PSW-Designer to GPCRs and assess its predictive capabilities via two retrospective case studies. Furthermore, by leveraging bioactivity information on known ligands, typical and atypical strategies for photoswitchable group incorporation, and the increasingly structural information available for biological targets, the PSW-Design will facilitate the design of novel photoswitchable molecules with improved photopharmacological properties and increased binding affinity shifts upon illumination for GPCRs and many other protein targets.

Original languageEnglish
Pages (from-to)6696–6705
Number of pages10
JournalJournal of chemical information and modeling
Volume63
Issue number21
Early online date13 Oct 2023
DOIs
Publication statusPublished - 13 Nov 2023

Bibliographical note

Publisher Copyright:
© 2023 The Authors. Published by American Chemical Society.

Funding

We thank Tom Dekker for valuable discussions on KNIME implementations and Bas de Boer for his input on the manuscript graphics. This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under Grant Agreement No. 875510 (EUbOPEN). The JU receives support from the European Union’s Horizon 2020 research and innovation program and EFPIA and Ontario Institute for Cancer Research, Royal Institution for the Advancement of Learning McGill University, Kungliga Tekniska Hoegskolan, Diamond Light Source Limited. We acknowledge The Netherlands Organization for Scientific Research (NWO) for financial support through the TOPPUNT (718.014.002) and NWO XS (OCENW.XS4.267) grant schemes.

FundersFunder number
Royal Institution
Horizon 2020 Framework Programme
Diamond Light Source
Ontario Institute for Cancer Research
European Federation of Pharmaceutical Industries and Associations
Nederlandse Organisatie voor Wetenschappelijk OnderzoekOCENW.XS4.267, 718.014.002
Kungliga Tekniska Högskolan
Innovative Medicines Initiative875510

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